scholarly journals Breaktrough drug combination for Congenital Junctional Ectopic Tachycardia: a pediatric case report.

Author(s):  
Giovanni Di Marco ◽  
Angelica De Nigris ◽  
Giangiacomo Di Nardo

Introduction: Congenital Junctional Ectopic Tachycardia (JET) is a rare tachyarrhythmia that remains difficult to manage with suboptimal control in the majority of cases. Methods: Here, we report the successful use of Ivabradine in combination with Flecainide for the therapy of congenital JET resistant to multiple antiarrhythmic agents. Results: This new drug combination was effective in completely suppressing JET . Conclusion: Ivabradine in combination with Flecainide may be considered a new therapeutic strategy of congenital JET with satisfactory efficacy/tolerability ratio in patients resistant to conventional drug combinations.

2021 ◽  
Vol 13 (4) ◽  
pp. 624-631
Author(s):  
Giovanni Maria Di Marco ◽  
Angelica De Nigris ◽  
Angela Pepe ◽  
Annamaria Pagano ◽  
Giangiacomo Di Nardo ◽  
...  

Congenital junctional ectopic tachycardia (CJET) is a rare tachyarrhythmia that remains difficult to manage, with suboptimal control in most cases. Here, we report literature research on the use of ivabradine in the treatment of pediatric junctional ectopic tachycardia (JET), both congenital and postoperative, and describe the successful use of ivabradine–flecainide association for CJET therapy resistant to other antiarrhythmic agents. This new drug combination was effective in completely suppressing JET. Ivabradine–flecainide combination may be considered a new therapeutic strategy of CJET with a satisfactory efficacy/tolerability ratio in patients resistant to conventional drug combinations.


Author(s):  
Naoki Kajita ◽  
Satoshi Miyama ◽  
Kazue Kinoshita ◽  
Koichi Yoshida ◽  
Masami Narita
Keyword(s):  

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Xiangyi Li ◽  
Guangrong Qin ◽  
Qingmin Yang ◽  
Lanming Chen ◽  
Lu Xie

Drug combination is a powerful and promising approach for complex disease therapy such as cancer and cardiovascular disease. However, the number of synergistic drug combinations approved by the Food and Drug Administration is very small. To bridge the gap between urgent need and low yield, researchers have constructed various models to identify synergistic drug combinations. Among these models, biomolecular network-based model is outstanding because of its ability to reflect and illustrate the relationships among drugs, disease-related genes, therapeutic targets, and disease-specific signaling pathways as a system. In this review, we analyzed and classified models for synergistic drug combination prediction in recent decade according to their respective algorithms. Besides, we collected useful resources including databases and analysis tools for synergistic drug combination prediction. It should provide a quick resource for computational biologists who work with network medicine or synergistic drug combination designing.


2021 ◽  
Vol 35 (2) ◽  
pp. 231-234
Author(s):  
Sarah E. Evans
Keyword(s):  

2018 ◽  
Vol 62 (4) ◽  
Author(s):  
Suvitha Subramaniam ◽  
Christoph D. Schmid ◽  
Xue Li Guan ◽  
Pascal Mäser

ABSTRACT Combinatorial chemotherapy is necessary for the treatment of malaria. However, finding a suitable partner drug for a new candidate is challenging. Here we develop an algorithm that identifies all of the gene pairs of Plasmodium falciparum that possess orthologues in yeast that have a synthetic lethal interaction but are absent in humans. This suggests new options for drug combinations, particularly for inhibitors of targets such as P. falciparum calcineurin, cation ATPase 4, or phosphatidylinositol 4-kinase.


2021 ◽  
Vol 254-255 ◽  
pp. 70-74
Author(s):  
Yvonne Lisa Behrens ◽  
Andrea Schienke ◽  
Claudia Davenport ◽  
Jana Lentes ◽  
Marcel Tauscher ◽  
...  

2018 ◽  
Vol 50 (4) ◽  
pp. e363
Author(s):  
P. Gaio ◽  
L. Bosa ◽  
S. Rossin ◽  
V. Buccella ◽  
L. Nai Fovino ◽  
...  

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